clip-as-service
rclip
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clip-as-service | rclip | |
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15 | 17 | |
12,169 | 646 | |
0.5% | - | |
5.2 | 8.5 | |
3 months ago | 4 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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clip-as-service
- Search for anything ==> Immich fails to download textual.onnx
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I'm going insane trying to train large datasets for poses, any input would be greatly appreciated I've been stuck for days
I think training models with limited images can lead to overfitting, so I think you can try using a set of images with different poses. You might also want to try flipping or to help out the model so it gets to do different psoes. You might also want CLIP-as-a-service, but just know that pre-trained models isn't always be the best solution. My .02c
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[D]Want to Search Inside Videos Like a Pro?
Imagine an AI-powered grep command, one that could process a film and find segments matching a text. With CLIP-as-service, you can do that. Here is the repo link, https://github.com/jina-ai/clip-as-service.
- Image Similarity Score using transfer learning
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Best models for sentence similarity with good benefit-cost ratio?
you could try Jina.ai's CLIP-as-a-Service: https://github.com/jina-ai/clip-as-service
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Google launched multisearch last week, here's how you can create your own multisearch
Multisearch allows people to search with both text and images. With Open-Source project CLIP-as-service, you can use CLIP (a deep learning model by OpenAI) to do the same. Ask me if you have any questions?
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Natural text to image search(without captions), using CLIP model. Notebook in comment.
Are you scraping these images or using any dataset? Do share the link, would love to play around with it. Would love to hear your feedback for clip-as-service (what I use in my example)?
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Open-Source python package to find relevant images for a sentence
Built CLIP-as-service, an open-source library to create embeddings of images and text using CLIP. These embeddings can be used to find the relevant images for any sentence. Note: you don't need to caption the images for this to work, and it is not just limited to objects in the image but an overall understanding built via CLIP neural network.
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Built an ML library that can describe an image or find relevant images for a sentence
Built [CLIP-as-service](https://github.com/jina-ai/clip-as-service), an open-source library to create embeddings of images and text using CLIP.
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[P] Clip-as-service to embed images and sentences into fixed-length vectors with CLIP
Excited to share my new project CLIP-as-service, a high-scalability service for embedding images and text. It serve CLIP models with ONNX runtime and PyTorch JIT with 800QPS.
rclip
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35,000 photos, what to do?
The installation instructions are in the project README: https://github.com/yurijmikhalevich/rclip. I use the prebuilt executable option to install it on my Synology NAS.
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Apple - Fruit = X? rclip update: query combos and snapcraft, homebrew, and pypi releases
rclip source code is published on GitHub under the MIT license: https://github.com/yurijmikhalevich/rclip. Give it a try, and let me know what you think!
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I have like 1500 videos of me playing piano.. too many to go through manually to eliminate the inappropriate ones. Can ML help?
Use this command line project called rclip which is the easiest way to use CLIP models on your local folders of images. It was written by /u/39dotyt (thanks again!).
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Can I Create my own AI Image Bank?
https://github.com/yurijmikhalevich/rclip https://mikhalevi.ch/rclip-an-ai-powered-command-line-photo-search-tool
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Can anybody advise open-sourced neural net model to tag/recognize photos on a harddrive?
The latter would be easy to use with https://github.com/yurijmikhalevich/rclip .
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Organizing 6 TB of random junk
For images rclip can give you search that's better than Google Photos with entirely unannotated data and pure natural English queries.
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AI powered image sorting/tagging/organising?
Google Photos can do this kind of searching for specific objects and combinations. I'm not sure if there is a tool that you can install locally that will do it. What we're probably looking for is a local image search engine powered by CLIP. Something like this, but with a GUI on Windows. It would be cool if tools like Eagle integrated CLIP into them, so you didn't have to manually tag everything, they were just auto-tagged with the content that is already in them. PhotoPrism might be the closest thing yet.
- Rclip: AI-Powered Command-Line Photo Search Tool Using CLIP
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Natural text to image search(without captions), using CLIP model. Notebook in comment.
Indexing was done with this other guy's github project. It was convenient because it automatically handles things like "continue where it left off".
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Using CLIP to score multiple images against a single string.
It's based on https://github.com/yurijmikhalevich/rclip who posted his project here a while ago.
What are some alternatives?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
faiss - A library for efficient similarity search and clustering of dense vectors.
DeBERTa - The implementation of DeBERTa
sdcompare - A-B voting tool for images
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
rclip-server - A simple web-server/api over a rclip-style clip embedding database.
electra - ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
CatalogScanner - Scans Animal Crossing: New Horizon catalog from video of user scrolling through.
OpenPrompt - An Open-Source Framework for Prompt-Learning.
pyvirtualcam - 🎥 Send frames to a virtual camera from Python